Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models (2020)
- Authors:
- USP affiliated authors: MARGARIDO, GABRIEL RODRIGUES ALVES - ESALQ ; GARCIA, ANTONIO AUGUSTO FRANCO - ESALQ ; DIAS, KAIO OLIMPIO DAS GRAÇAS - ESALQ ; SANTOS, JHONATHAN PEDROSO RIGAL DOS - ESALQ ; OLIVEIRA, AMANDA AVELAR DE - ESALQ
- Unidade: ESALQ
- DOI: 10.1002/csc2.20253
- Subjects: CRUZAMENTO VEGETAL; GENÔMICA; HIBRIDAÇÃO VEGETAL; INTERAÇÃO GENÓTIPO-AMBIENTE; MARCADOR MOLECULAR; MILHO; MODELOS (ANÁLISE MULTIVARIADA); POLIMORFISMO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Crop Science
- ISSN: 0011-183X
- Volume/Número/Paginação/Ano: v. 60, p. 3049–3065, 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
ABNT
KRAUSE, Matheus Dalsente et al. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models. Crop Science, v. 60, p. 3049–3065, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20253. Acesso em: 02 out. 2024. -
APA
Krause, M. D., Dias, K. O. das G., Santos, J. P. R. dos, Oliveira, A. A. de, Guimaraes, L. J. M., Pastina, M. M., et al. (2020). Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models. Crop Science, 60, 3049–3065. doi:10.1002/csc2.20253 -
NLM
Krause MD, Dias KO das G, Santos JPR dos, Oliveira AA de, Guimaraes LJM, Pastina MM, Margarido GRA, Garcia AAF. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models [Internet]. Crop Science. 2020 ; 60 3049–3065.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/csc2.20253 -
Vancouver
Krause MD, Dias KO das G, Santos JPR dos, Oliveira AA de, Guimaraes LJM, Pastina MM, Margarido GRA, Garcia AAF. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models [Internet]. Crop Science. 2020 ; 60 3049–3065.[citado 2024 out. 02 ] Available from: https://doi.org/10.1002/csc2.20253 - High-density SNP-based genetic diversity and heterotic patterns of tropical maize breeding lines
- Genomic prediction applied to multiple traits and environments in second season maize hybrids
- Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program
- Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data
- Allele expression biases in mixed-ploid sugarcane accessions
- Linkage disequilibrium and population structure in wild and cultivated populations of Rubber Tree (Hevea brasiliensis)
- A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids
- Multi-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits
- A model for quantitative trait loci mapping, linkage phase, and segregation pattern estimation for a full-sib progeny
- Comparative evolutionary genetics of deleterious load in sorghum and maize
Informações sobre o DOI: 10.1002/csc2.20253 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
3021719-Boosting predicti... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas